MATLAB: How to get values on top of the bar plot

bar plotplot

I have data that I want to have shown in groups of three. How can I get the values Diff onto the bar plot? I have tried various ways but can't get it right…

Diff = [minD1 maxD1 meanD1; minD maxD meanD; minD2 maxD2 meanD2; minD3 maxD3 meanD3; minD4 maxD4 meanD4]*10^4;
figure
name = categorical({'100 ul', '200 ul', '500 ul', '750 ul', '1000 ul'});
name = reordercats(name,{'100 ul', '200 ul', '500 ul', '750 ul', '1000 ul'});
bar(name, Diff)
ylabel('Diffusion coefficent (10^-^4)')
legend('min D','max D','mean D')
grid on 
grid minor

Best Answer

See this example

% Diff = [minD1 maxD1 meanD1; minD maxD meanD; minD2 maxD2 meanD2; minD3 maxD3 meanD3; minD4 maxD4 meanD4]*10^4;
Diff = rand(5, 3);
name = {'100 ul', '200 ul', '500 ul', '750 ul', '1000 ul'};
figure;
ax = axes();
b = bar(1:5, Diff);
ylabel('Diffusion coefficent (10^-^4)')
legend('min D','max D','mean D')
grid on 
grid minor
ax.XTickLabel = name;
barNames = {'a', 'b', 'c'};
x_diffs = [-0.25 -.05 0.2]; % x-location of bars relative to middle bar
y_diff = 0.02; % height of text above the bar
for i = 1:numel(b)
    text(b(i).XData+x_diffs(i), b(i).YData+y_diff, barNames(i));
end

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MATLAB: Fitting the numerical solution of a PDE with one parameter to some data

https://de.mathworks.com/matlabcentral/answers/43439-monod-kinetics-and-curve-fitting

The procedure can easily be adapted to work with a PDE instead of ODEs.

Best wishes

Torsten.

MATLAB: How to show bin counts’ percentage values in Histogram2 tile plot

I have solved it writing a function manually add text to each rectangle.

Here is the function:

function hHist = normalized_histogram2(hAxes,xVals,yVals,xEdges,yEdges)
% Creates a 2D Histogram plot of data counts percentage in each bins.
% Add percentage values as text inside each bin. 
% Font size and font weight can be changed manually inside the code or
% added to function inputs. 
% NOTE: If text does not fit the rectangles, change font size or maximize
% figure plot. 
%% inputs: 
% hAxes - axis handle object for the plot
% xVals - a double vector of x values
% yVals - a double vector of y values
% NOTE: xVals and yVals must be the same length
% xEdges - a double vector of x bins
% yEdges - a double vector of y bins
%% outputs:
% hHist - histogram object handle
hist_Counts = histcounts2(xVals,yVals,xEdges,yEdges);
hist_Counts_normalized = (hist_Counts / sum(hist_Counts,'all'))*100;
hHist = histogram2(hAxes,'XBinEdges',xEdges,'YBinEdges',yEdges,'DisplayStyle','tile','BinCounts',hist_Counts_normalized);
colorbar;
xBinCenters = hHist.XBinEdges - [0,diff(hHist.XBinEdges)/2];
yBinCenters = hHist.YBinEdges - [0,diff(hHist.YBinEdges)/2];
for i = 2:numel(xBinCenters)
    
    for j = 2:numel(yBinCenters)
        x_loc = xBinCenters(i);
        y_loc = yBinCenters(j);
        if ~(round(hHist.Values(i-1,j-1),2) == 0)
            text(hAxes,x_loc,y_loc,[num2str(round(hHist.Values(i-1,j-1),2)),'%'],'Color',[0 0 0],'FontSize',10,'FontWeight','bold');
        else
            continue
        end
        
    end
end

Here is the demo:

%% Data Creation:
xVals = randn(1,10000);
yVals = randn(1,1000)*5;
xEdges = min(xVals):1:max(xVals);
yEdges = min(yVals):5:max(yVals);
%% Demo:
hFig = figure;
hAxes = axes(hFig);
normalized_histogram2(hAxes,xVals,yVals,xEdges,yEdges);
% make plot look beautiful:
xlabel('X Data');
ylabel('Y Data');
title('Normalized Histogram 2');
hFig.WindowState = 'maximized';

It will look like below:

Best Answer

Related Solutions

MATLAB: Fitting the numerical solution of a PDE with one parameter to some data

MATLAB: How to show bin counts’ percentage values in Histogram2 tile plot

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